 |
| Titel |
Deep drainage estimates using multiple linear regression with percent clay content and rainfall |
| VerfasserIn |
D. L. Wohling, F. W. Leaney, R. S. Crosbie |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1027-5606
|
| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 16, no. 2 ; Nr. 16, no. 2 (2012-02-24), S.563-572 |
| Datensatznummer |
250013183
|
| Publikation (Nr.) |
 copernicus.org/hess-16-563-2012.pdf |
|
|
|
|
|
| Zusammenfassung |
| Deep drainage estimates are required for effective management of water
resources. However, field measurements are time consuming and costly so
simple empirical relationships are often used. Relationships developed
between clay content of the surface soil and deep drainage have been used
extensively in Australia to provide regional estimates of deep drainage but
these relationships have been poorly justified and did not include rainfall
in the relationships. Here we present a rigorous appraisal of clay content
of soils and rainfall as predictors of deep drainage using an extensive
database of field observations from across Australia. This study found that
annual average rainfall and the average clay content of the top 2 m of the
soil are statistically significant predictors of point scale deep drainage.
Relationships have been defined for annual, perennial and tree type
vegetation as a line of best fit along with 95% confidence intervals.
This allows the uncertainty in these deep drainage estimates to be assessed
for the first time. |
| |
|
| Teil von |
|
|
|
|
|
|
|